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Deep reinforcement learning‐based active mass driver decoupled control framework considering control–structure interaction effects

Author(s): (School of Civil Engineering Guangzhou University Guangzhou China)
(School of Civil Engineering Guangzhou University Guangzhou China)
(Department of Civil Engineering The University of British Columbia Vancouver Canada)
(School of Civil Engineering Guangzhou University Guangzhou China)
Medium: journal article
Language(s): English
Published in: Computer-Aided Civil and Infrastructure Engineering, , n. 11, v. 39
Page(s): 1573-1596
DOI: 10.1111/mice.13159
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1111/mice.13159.
  • About this
    data sheet
  • Reference-ID
    10758559
  • Published on:
    23/03/2024
  • Last updated on:
    20/09/2024
 
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